Bring Document Collection
to Vercel AI SDK
Learn how to connect Superdocu to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Superdocu MCP Server?
What you can do
- List and track document requests in real-time.
- Create new contacts and initiate onboarding workflows.
- Approve or reject document submissions directly from your AI agent.
- Manage your document collection process with automated follow-ups.
How it works
1. Get your Superdocu API Key from your account settings. 2. Enter your credentials in Vinkius platform. 3. Start chatting with your Superdocu agent to manage your onboarding.Who is it for?
- HR teams managing employee onboarding.
- Legal and compliance officers collecting KYC/AML documents.
- Real estate and financial services streamlining client documentation.
Built-in capabilities (12)
Approve a document request
Create a new contact
Create a new document request
Get details for a specific contact
Get metadata for a specific document
Get current user/account information
Get details of a specific document request
List all contacts
List all documents
List document requests in Superdocu
List available document workflows
Reject a document request
Why Vercel AI SDK?
The Vercel AI SDK gives every Superdocu tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Superdocu integration everywhere
- —
Built-in streaming UI primitives let you display Superdocu tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Superdocu in Vercel AI SDK
Superdocu and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Superdocu to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Superdocu in Vercel AI SDK
The Superdocu MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Superdocu for Vercel AI SDK
Every tool call from Vercel AI SDK to the Superdocu MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I create a new document request?
You can use the create_request tool by providing a Contact ID and a Workflow ID.
Can I approve documents using the AI agent?
Yes, use the approve_request tool with the specific Request ID to approve it.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
